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Computer Vision Engineer

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: Wabtec
Full Time position
Listed on 2026-02-28
Job specializations:
  • Engineering
    AI Engineer, Computer Science, Software Engineer
Salary/Wage Range or Industry Benchmark: 67400 - 96000 CAD Yearly CAD 67400.00 96000.00 YEAR
Job Description & How to Apply Below
Location: Montreal

It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company.

We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.

Wabtec provides vision-based wayside detectors for the rolling stock maintenance marke
t. Its non-contact measurement technology enables highly detailed condition assessment of train components-ranging from wheel surface condition to full train inspection-on trains operating in service and at high speeds. Wabtec's wayside systems and software applications and image analysis technology enable Train Operating Companies (TOCs) to manage fleet maintenance and operation through automatic measurements and inspections. Real-time alarms, alerts, and reports enable significant reductions in maintenance costs and increase fleet availability for revenue generation.

Role Overview

We are seeking a skilled Computer Vision Engineer to design, develop, and optimize advanced image processing and deep learning solutions for real-time applications. The role involves working on cutting-edge camera and laser-based systems for accurate measurement and detection, with a focus on innovation, performance optimization, and seamless integration into production environments.

Responsibilities

· Design, implement, and optimize computer vision algorithms using Python, MATLAB, and C++ for real-time performance.

· Develop state-of-the-art solutions combining traditional image processing and deep learning for accurate rail component detection and measurement.

· Research and apply new techniques in deep learning, unsupervised learning, and computer vision to enhance accuracy and efficiency.

· Collaborate with cross-functional teams to integrate vision solutions into existing systems.

· Conduct performance analysis, profiling, and optimization to meet high-speed processing requirements.

· Develop prototypes and proof-of-concept projects to validate new technologies.

· Stay current with emerging trends in AI, computer vision, and image processing, and contribute innovative ideas to the team.

· Document methodologies, research findings, and code for knowledge sharing and reproducibility.

· Participate in code reviews and contribute to team-wide technical discussions.

Requirements

·

Education:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

·

Experience:

2+ years of hands-on experience in image processing, computer vision, and deep learning applications.

· Programming

Skills:

Proficiency in Python and MATLAB, with strong C++ development experience.

· Frameworks & Tools:
Experience with OpenCV, PyTorch, Tensor Flow, and related ML/DL libraries.

· Strong understanding of deep learning techniques and algorithm design tailored for computer vision.

· Familiarity with unsupervised learning methods is a plus.

· Experience with point cloud data processing is an advantage.

· Knowledge of MLOps/Dev Ops workflows and best practices is preferred.

· Experience with cloud platforms (AWS, Azure, or GCP) is a plus, with preference for AWS.

· Excellent problem-solving skills, with the ability to work independently and collaboratively.

· Strong communication skills to effectively articulate complex technical concepts.

Our job titles may span more than one career level. The salary range for this role is between

$67,400.00-$96,000.00

The actual salary offered to a candidate may be influenced by a variety of factors, such as: training, transferable skills, work experience, education, business needs, market demands and work location. The base pay range is subject to change and may be modified in the future. More information on offered benefits, which include health, welfare, and retirement, are available at  Other benefit offerings for this role may include an annual bonus, if eligible.

Who are we?

Wabtec Corporation is a leading global provider…

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